Inferring the transcriptional regulatory mechanism of signal-dependent gene expression via an integrative computational approach

FEBS Lett. 2020 May;594(10):1477-1496. doi: 10.1002/1873-3468.13757. Epub 2020 Feb 29.

Abstract

Eukaryotic transcription factors (TFs) coordinate different upstream signals to regulate the expression of their target genes. To unveil this regulatory network in B-cell receptor signaling, we developed a computational pipeline to systematically analyze the extracellular signal-regulated kinase (ERK)- and IκB kinase (IKK)-dependent transcriptome responses. We combined a bilinear regression method and kinetic modeling to identify the signal-to-TF and TF-to-gene dynamics, respectively. We input a set of time-course experimental data for B cells and concentrated on transcriptional activators. The results show that the combination of TFs differentially controlled by ERK and IKK could contribute divergent expression dynamics in orchestrating the B-cell response. Our findings provide insights into the regulatory mechanisms underlying signal-dependent gene expression in eukaryotic cells.

Keywords: combinatorial control; kinetic modeling; regression analysis; signal transduction; transcription factor; transcriptional regulation.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Biocatalysis
  • Chickens / genetics
  • Computer Simulation*
  • Extracellular Signal-Regulated MAP Kinases / metabolism
  • Gene Expression Regulation*
  • Gene Regulatory Networks
  • I-kappa B Kinase / metabolism
  • Models, Biological
  • Receptors, Antigen, B-Cell / metabolism
  • Signal Transduction / genetics*
  • Transcription Factors / metabolism
  • Transcription, Genetic*

Substances

  • Receptors, Antigen, B-Cell
  • Transcription Factors
  • I-kappa B Kinase
  • Extracellular Signal-Regulated MAP Kinases