title: Tandem analysis of transcriptome and proteome changes after a single dose of corticosteroid: a systems approach to liver function in pharmacogenomics.
abstract: Corticosteroids (CS) such as methylprednisolone (MPL) affect almost all liver functions through multiple mechanisms of action, and long-term use results in dysregulation causing diverse side effects. The complexity of involved molecular mechanisms necessitates a systems approach. Integration of information from the transcriptomic and proteomic responses has potential to provide deeper insights into CS actions. The present report describes the tandem analysis of rich time-series transcriptomic and proteomic data in rat liver after a single dose of MPL. Hierarchical clustering of the common genes represented in both mRNA and protein datasets displayed two dominant patterns. One of these patterns exhibited complementary mRNA and protein expression profiles indicating that MPL affected the regulation of these genes at the transcriptional level. Some of the classic pharmacodynamic markers for CS actions, including tyrosine aminotransferase (TAT), were among this group, together with genes encoding urea cycle enzymes and ribosomal proteins. The other pattern was rather unexpected. For this group of genes, MPL had distinctly observable effects at the protein expression level, although a change in the reverse direction occurred at the transcriptional level. These genes were functionally associated with metabolic processes that might be essential to elucidate side effects of MPL on liver, most importantly including modulation of oxidative stress, fatty acid oxidation, and bile acid biosynthesis. Furthermore, profiling of gene and protein expression data was also done independently of one another by a two-way sequential approach. Prominent temporal shifts in expression and relevant cellular functions were described together with the assessment of changes in the complementary side.
authors.affiliation: 1 Department of Chemical and Biochemical Engineering, Rutgers, The State University of New Jersey , Piscataway, New Jersey.
authors.forename: Kubra
authors.initials: K
authors.lastname: Kamisoglu
authors.forename: Siddharth
authors.initials: S
authors.lastname: Sukumaran
authors.forename: Eslam
authors.initials: E
authors.lastname: Nouri-Nigjeh
authors.forename: Chengjian
authors.initials: C
authors.lastname: Tu
authors.forename: Jun
authors.initials: J
authors.lastname: Li
authors.forename: Xiaomeng
authors.initials: X
authors.lastname: Shen
authors.forename: Xiaotao
authors.initials: X
authors.lastname: Duan
authors.forename: Jun
authors.initials: J
authors.lastname: Qu
authors.forename: Richard R
authors.initials: RR
authors.lastname: Almon
authors.forename: Debra C
authors.initials: DC
authors.lastname: DuBois
authors.forename: William J
authors.initials: WJ
authors.lastname: Jusko
authors.forename: Ioannis P
authors.initials: IP
authors.lastname: Androulakis
mesh_terms: D000305:Adrenal Cortex Hormones / Q000494:pharmacology*; D000818:Animals; D016000:Cluster Analysis; D019295:Computational Biology / Q000379:methods; D020869:Gene Expression Profiling / Q000379:methods; D005786:Gene Expression Regulation / Q000187:drug effects*; D008099:Liver / Q000187:drug effects* / Q000378:metabolism*; D058977:Molecular Sequence Annotation; D020543:Proteome; D040901:Proteomics / Q000379:methods; D051381:Rats; D059467:Transcriptome; D057188:Workflow
chemical_list: D000305:Adrenal Cortex Hormones; D020543:Proteome