Reconstruction of gene regulatory modules from RNA silencing of IFN-α modulators: experimental set-up and inference method.

ABSTRACT:

Background

Inference of gene regulation from expression data may help to unravel regulatory mechanisms involved in complex diseases or in the action of specific drugs. A challenging task for many researchers working in the field of systems biology is to build up an experiment with a limited budget and produce a dataset suitable to reconstruct putative regulatory modules worth of biological validation.

Results

Here, we focus on small-scale gene expression screens and we introduce a novel experimental set-up and a customized method of analysis to make inference on regulatory modules starting from genetic perturbation data, e.g. knockdown and overexpression data. To illustrate the utility of our strategy, it was applied to produce and analyze a dataset of quantitative real-time

SUBMITTER: Grassi A 

PROVIDER: S-EPMC4788926 | biostudies-literature | 2016 Mar

REPOSITORIES: biostudies-literature