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PulmonDB: a curated lung disease gene expression database.

Ana B Villaseñor-Altamirano1, Marco Moretto2, Mariel Maldonado3

  • 1Laboratorio Internacional de Investigación sobre el Genoma Humano, UNAM, Juriquilla, Mexico.

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|January 18, 2020
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Summary

PulmonDB is a new database and R library for exploring gene expression in Chronic Obstructive Pulmonary Disease (COPD) and Idiopathic Pulmonary Fibrosis (IPF). It aids researchers in comparing these lung diseases using transcriptomic data.

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Area of Science:

  • Pulmonary Medicine
  • Bioinformatics
  • Genomics

Background:

  • Chronic Obstructive Pulmonary Disease (COPD) and Idiopathic Pulmonary Fibrosis (IPF) are distinct lung diseases with complex transcriptomic profiles.
  • Existing public transcriptomic data for COPD and IPF is challenging to reprocess and analyze effectively.

Purpose of the Study:

  • To develop PulmonDB, a web-based database and R library, for accessible exploration of gene expression profiles in COPD and IPF.
  • To integrate and curate transcriptomic data from various sources for a comprehensive resource.

Main Methods:

  • Developed a web-based database (PulmonDB) and a companion R library.
  • Integrated transcriptomic data and curated annotations for COPD and IPF from public repositories.
  • Performed differential gene expression analyses to identify disease-specific patterns.

Main Results:

  • Demonstrated the utility of PulmonDB by visualizing known gene expression patterns in COPD and IPF across multiple experiments.
  • Identified significant differences and similarities in gene expression between COPD and IPF through differential expression analyses.
  • Facilitated novel hypothesis generation by enabling transcriptomic comparisons between the two diseases.

Conclusions:

  • PulmonDB provides a valuable, integrated resource for researchers studying COPD and IPF transcriptomics.
  • The database enables new comparative analyses, advancing our understanding of these distinct pulmonary diseases.
  • This resource supports the generation of new hypotheses and facilitates deeper insights into lung disease mechanisms.