Dynamics of time-lagged gene-to-metabolite networks of Escherichia coli elucidated by integrative omics approach.

ABSTRACT: In the postgenomics era, integrative analysis of several "omics" data is absolutely required for understanding the cell as a system. Integrative analysis of transcriptomics and metabolomics can lead to elucidation of gene-to-metabolite networks. When integrating different time series "omics" data, it is necessary to take into consideration a time lag between those data. In the present study, we conducted an integrative analysis of time series transcriptomics and metabolomics data of Escherichia coli generated by cDNA microarray and Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR/MS), respectively. We identified a 60-min time lag between transition points of transcriptomics and metabolomics data by using a Linear Dynamical System. Furthermore, we investigated gene-to-met

SUBMITTER: Takahashi H 

PROVIDER: S-EPMC3125544 | biostudies-literature | 2011 Jan-Feb

REPOSITORIES: biostudies-literature