Integration of metabolomics and transcriptomics in nanotoxicity studies

Tae Hwan Shin, Da Yeon Lee, Hyeon Seong Lee, Hyung Jin Park, Moon Suk Jin, Man Jeong Paik, Balachandran Manavalan, Jung Soon Mo, Gwang Lee

Research output: Contribution to journalArticlepeer-review

68 Scopus citations

Abstract

Biomedical research involving nanoparticles has produced useful products with medical applications. However, the potential toxicity of nanoparticles in biofluids, cells, tissues, and organisms is a major challenge. The '-omics' analyses provide molecular profiles of multifactorial biological systems instead of focusing on a single molecule. The 'omics' approaches are necessary to evaluate nanotoxicity because classical methods for the detection of nanotoxicity have limited ability in detecting miniscule variations within a cell and do not accurately reflect the actual levels of nanotoxicity. In addition, the 'omics' approaches allow analyses of in-depth changes and compensate for the differences associated with high-throughput technologies between actual nanotoxicity and results from traditional cytotoxic evaluations. However, compared with a single omics approach, integrated omics provides precise and sensitive information by integrating complex biological conditions. Thus, these technologies contribute to extended safety evaluations of nanotoxicity and allow the accurate diagnoses of diseases far earlier than was once possible in the nanotechnology era. Here, we review a novel approach for evaluating nanotoxicity by integrating metabolomics with metabolomic profiling and transcriptomics, which is termed "metabotranscriptomics".

Original languageEnglish
Pages (from-to)14-20
Number of pages7
JournalBMB Reports
Volume51
Issue number1
DOIs
StatePublished - 2018
Externally publishedYes

Keywords

  • Integrated omics
  • Metabolomics
  • Metabotranscriptomics
  • Nanotoxicity
  • Profile
  • Transcriptomics

Fingerprint

Dive into the research topics of 'Integration of metabolomics and transcriptomics in nanotoxicity studies'. Together they form a unique fingerprint.

Cite this