ArticleScientific reports2020
PulmonDB: a curated lung disease gene expression database.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Using semantic search to find publicly available gene-expression datasets.Bioinformatics (Oxford, England) · 2026Article
- TAp73 regulates mitochondrial dynamics and multiciliated cell homeostasis through an OPA1 axis.Cell death & disease · 2024Article
- Article
- Effect of Hypoxia in the Transcriptomic Profile of Lung Fibroblasts from Idiopathic Pulmonary Fibrosis.Cells · 2022Article
- FibROAD: a manually curated resource for multi-omics level evidence integration of fibrosis research.Database : the journal of biological databases and curation · 2022Article
- OmicsView: Omics data analysis through interactive visual analytics.Computational and structural biotechnology journal · 2022Article
- Fibromine is a multi-omics database and mining tool for target discovery in pulmonary fibrosis.Scientific reports · 2021Article
- SysInflam HuDB, a Web Resource for Mining Human Blood Cells Transcriptomic Data Associated with Systemic Inflammatory Responses to Sepsis.Journal of immunology (Baltimore, Md. : 1950) · 2021Article
- Hypoxia in Cancer and Fibrosis: Part of the Problem and Part of the Solution.International journal of molecular sciences · 2021Review
- Construction of a Support Vector Machine-Based Classifier for Pulmonary Arterial Hypertension Patients.Frontiers in genetics · 2021Article
- signatureSearch: environment for gene expression signature searching and functional interpretation.Nucleic acids research · 2020Article
Corrections and comments
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.