Network-based enrichment analysis of gene expression through protein-protein interaction data.
High-throughput analysis of gene expression data is subject to technological and statistical issues that confuse the underlying expression-condition associations. In this contribution a network-based candidate gene prioritization strategy was applied to the enrichment of a publicly available gene expression dataset, focused on the study of the mechanosensitivity of genes exposed to altered pulmonary matrix stiffness. Results suggested that some genes which had not been taken into account in the original study could have an important role in the processes causing, or affected by, pulmonary fibrosis.
Dept. of Sistems Engineering, Automatics and Industrial Informatics, Technical University of Catalonia (UPC), Pau Gargallo 5, 08028, Barcelona, Spain. raimon.massanet@upc.edu
Raimon
R
Massanet-Vila
Francesc Fernández
FF
Albert
Pere
P
Caminal
Alexandre
A
Perera
D030562:Databases, Protein; D020869:Gene Expression Profiling; D006801:Humans; D011485:Protein Binding; D011506:Proteins / Q000378:metabolism*
D011506:Proteins