Exploiting combinatorial cultivation conditions to infer transcriptional regulation.

ABSTRACT:

Background

Regulatory networks often employ the model that attributes changes in gene expression levels, as observed across different cellular conditions, to changes in the activity of transcription factors (TFs). Although the actual conditions that trigger a change in TF activity should form an integral part of the generated regulatory network, they are usually lacking. This is due to the fact that the large heterogeneity in the employed conditions and the continuous changes in environmental parameters in the often used shake-flask cultures, prevent the unambiguous modeling of the cultivation conditions within the computational framework.

Results

We designed an experimental setup that allows us to explicitly model the cultivation conditions and use these to infer the activi

SUBMITTER: Knijnenburg TA 

PROVIDER: S-EPMC1797021 | biostudies-literature | 2007 Jan

REPOSITORIES: biostudies-literature