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Inferring the transcriptional regulatory mechanism of signal-dependent gene expression via an integrative computational approach.
Chiang, Sufeng; Shinohara, Hisaaki; Huang, Jia-Hsin; Tsai, Huai-Kuang; Okada, Mariko.
Affiliation
  • Chiang S; Genome and Systems Biology Degree Program, National Taiwan University and Academia Sinica, Taipei, Taiwan.
  • Shinohara H; Institute of Information Science, Academia Sinica, Taipei, Taiwan.
  • Huang JH; RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
  • Tsai HK; Institute of Information Science, Academia Sinica, Taipei, Taiwan.
  • Okada M; Genome and Systems Biology Degree Program, National Taiwan University and Academia Sinica, Taipei, Taiwan.
FEBS Lett ; 594(10): 1477-1496, 2020 05.
Article de En | MEDLINE | ID: mdl-32052437
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.
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Transcription génétique / Simulation numérique / Transduction du signal / Régulation de l'expression des gènes Type d'étude: Prognostic_studies Limites: Animals Langue: En Journal: FEBS Lett Année: 2020 Type de document: Article Pays d'affiliation: Taïwan

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Transcription génétique / Simulation numérique / Transduction du signal / Régulation de l'expression des gènes Type d'étude: Prognostic_studies Limites: Animals Langue: En Journal: FEBS Lett Année: 2020 Type de document: Article Pays d'affiliation: Taïwan