Application of biclustering of gene expression data and gene set enrichment analysis methods to identify potentially disease causing nanomaterials.

ABSTRACT:

Background

The presence of diverse types of nanomaterials (NMs) in commerce is growing at an exponential pace. As a result, human exposure to these materials in the environment is inevitable, necessitating the need for rapid and reliable toxicity testing methods to accurately assess the potential hazards associated with NMs. In this study, we applied biclustering and gene set enrichment analysis methods to derive essential features of altered lung transcriptome following exposure to NMs that are associated with lung-specific diseases. Several datasets from public microarray repositories describing pulmonary diseases in mouse models following exposure to a variety of substances were examined and functionally related biclusters of genes showing similar expression profiles were identi

SUBMITTER: Williams A 

PROVIDER: S-EPMC4734442 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature