Generated Artifacts

Download the generated model serializations:

• JSON Schema
• Pydantic Model
• Python Dataclasses
• Excel Spreadsheet

Paper-Derived SOMA Data

SOMA-conformant data extracted from published PM2.5 research papers. Each workbook contains assay measurements mapped to the SOMA schema with full provenance (figure/table references, p-values, protocols, exposure conditions).

Montgomery et al. (2020)

"Genome-Wide Analysis Reveals Mucociliary Remodeling of the Nasal Airway Epithelium Induced by Urban PM2.5"

Am J Respir Cell Mol Biol. 2020;63(2):172-184 | Paper | PubMed Central | DOI: 10.1165/rcmb.2019-0454OC

• Excel Workbook
• SOMA assay types: GeneExpressionAssay, GobletCellAssay, FoxJExpressionAssay
• Key findings: CYP1A1 LFC=6.21 (AhR activation), MUC5AC+ cells FC=2.88, FOXJ1+ nuclei 75% decrease, 424 DEGs at moderate dose

Liu et al. (2024)

"PM2.5 Exposure Inhibits Transepithelial Anion Short-circuit Current by Downregulating P2Y2 Receptor/CFTR Pathway"

Int J Med Sci. 2024;21(10):1929-1944 | Paper | DOI: 10.7150/ijms.96777

• Excel Workbook
• SOMA assay types: CFTRFunctionAssay, GeneExpressionAssay, GobletCellAssay, BALFSputumAssay, LungFunctionAssay
• Key findings: PM2.5 downregulates P2Y2R/CFTR (p<0.05), inhibits Isc, increases goblet cells (p<0.001), elevates Th2 cytokines