Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

PulmonDB

General information

URL: http://pulmondb.liigh.unam.mx
Full name:
Description: A web-based database and R library that facilitates exploration of gene expression profiles for lung diseases by integrating transcriptomic data and curated annotation from different sources.
Year founded: 2020
Last update:
Version: 1.0
Accessibility:
Accessible
Country/Region: Mexico

Classification & Tag

Data type:
RNA
Data object:
Database category:
Major species:
Keywords:

Contact information

University/Institution: National Autonomous University of Mexico
Address:
City: Juriquilla
Province/State:
Country/Region: Mexico
Contact name (PI/Team): Alejandra Medina-Rivera
Contact email (PI/Helpdesk): amedina@liigh.unam.mx

Publications

31949184
PulmonDB: a curated lung disease gene expression database. [PMID: 31949184]
Ana B Villaseñor-Altamirano, Marco Moretto, Mariel Maldonado, Alejandra Zayas-Del Moral, Adrián Munguía-Reyes, Yair Romero, Jair S García-Sotelo, Luis A Aguilar, Oscar Aldana-Assad, Kristof Engelen, Moisés Selman, Julio Collado-Vides, Yalbi I Balderas-Martínez, Alejandra Medina-Rivera

Chronic Obstructive Pulmonary Disease (COPD) and Idiopathic Pulmonary Fibrosis (IPF) have contrasting clinical and pathological characteristics and interesting whole-genome transcriptomic profiles. However, data from public repositories are difficult to reprocess and reanalyze. Here, we present PulmonDB, a web-based database (http://pulmondb.liigh.unam.mx/) and R library that facilitates exploration of gene expression profiles for these diseases by integrating transcriptomic data and curated annotation from different sources. We demonstrated the value of this resource by presenting the expression of already well-known genes of COPD and IPF across multiple experiments and the results of two differential expression analyses in which we successfully identified differences and similarities. With this first version of PulmonDB, we create a new hypothesis and compare the two diseases from a transcriptomics perspective.

Sci Rep. 2020:10(1) | 12 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
3747/6895 (45.671%)
Expression:
772/1347 (42.762%)
Health and medicine:
939/1738 (46.03%)
3747
Total Rank
12
Citations
2.4
z-index

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Record metadata

Created on: 2020-11-08
Curated by:
Dong Zou [2021-03-10]
Xiaonan Liu [2020-11-26]
Xiaonan Liu [2020-11-19]
Yitong Pan [2020-11-08]