PulmonDB

PulmonDB provides a curated, homogenized transcriptomic resource for comparative analysis of whole-genome gene expression in Chronic Obstructive Pulmonary Disease (COPD) and Idiopathic Pulmonary Fibrosis (IPF).

Key Features:

• Curated transcriptomic data: integrates gene expression datasets specific to COPD and IPF and presents homogenized expression values derived from individual contrasts.
• Reprocessing of public data: reprocesses and reanalyzes transcriptomic datasets obtained from public repositories to standardize inputs.
• Manual annotation: includes manually curated sample and experiment annotations to enhance data accuracy.
• Exploration of gene expression profiles: enables examination of gene-level expression across multiple experiments and known disease-associated genes.
• Differential expression analysis: supports identification of similarities and differences in gene expression between COPD and IPF through differential analyses.

Scientific Applications:

• Comparative genomic studies: compare gene expression profiles between COPD and IPF to identify disease-specific and shared biomarkers.
• Hypothesis generation: facilitate generation of hypotheses on molecular mechanisms and progression of COPD and IPF from transcriptomic patterns.
• Data integration and reproducibility: provide standardized, reprocessed datasets and curated annotations to support integrative analyses and reproducible research.

Methodology:

Reprocessing and reanalysis of public transcriptomic datasets; derivation of homogenized expression values from individual contrasts; manual curation of annotations; and support for differential expression analyses.